Operations Research (OR) started in the first world war as an initiative to use mathematics and computer science to assist military planners in their decisions [1]}.
Today, combinatorial optimization algorithms developed in the OR community form the backbone of the most important modern industries including transportation, logistics, scheduling, finance and supply chains.
However, designing powerful and robust optimization algorithms requires significant time and specialized knowledge, especially for understudied but high-impact problems arising in drug discovery [2]}, genomics [3]}, distributed systems [4]}, and circuit design [5]}.
